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Found 5 papers, 4 papers with code
MotionChain: Conversational Motion Controllers via Multimodal Prompts
However, this proficiency remains largely unexplored in other multimodal generative models, particularly in human motion models.
ShapeGPT: 3D Shape Generation with A Unified Multi-modal Language Model
The advent of large language models, enabling flexibility through instruction-driven approaches, has revolutionized many traditional generative tasks, but large models for 3D data, particularly in comprehensively handling 3D shapes with other modalities, are still under-explored.
MotionGPT: Human Motion as a Foreign Language
Building upon this "motion vocabulary", we perform language modeling on both motion and text in a unified manner, treating human motion as a specific language.
Financial Distress Prediction For Small And Medium Enterprises Using Machine Learning Techniques
As a result, there is a need to develop a productive prediction model for better order execution and adaptability to different datasets.
Executing your Commands via Motion Diffusion in Latent Space
We study a challenging task, conditional human motion generation, which produces plausible human motion sequences according to various conditional inputs, such as action classes or textual descriptors.
Ranked #2 on
Motion Synthesis
on HumanAct12
